Engineering anisotropic human stem cell-derived three-dimensional cardiac tissue on-a-chip

Jaimeson Veldhuizen1, Joshua Cutts1, David A Brafman1

  • 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.

Biomaterials
|July 6, 2020
PubMed

Insights

This study introduces a novel microfluidic platform for maturing human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs). The engineered cardiac tissues show improved physiological relevance for cardiovascular disease modeling and drug testing.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Stem Cell Biology

Background:

  • Cardiovascular diseases (CVDs) remain a leading global cause of mortality.
  • Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) show promise for in vitro cardiac modeling, but their immaturity limits clinical relevance.
  • Engineered cardiac tissues require improved maturation to accurately model native myocardium.

Purpose of the Study:

  • To develop a microfluidic platform for 3D cardiac tissue modeling using hPSC-CMs.
  • To enhance the maturation and physiological relevance of engineered cardiac tissues.
  • To create a tool for cardiovascular disease modeling and therapeutic testing.

Main Methods:

  • Development of a microfluidic platform with staggered microposts for surface topography.
  • Co-culture of hPSC-CMs with cardiac fibroblasts within a biomimetic collagen hydrogel.
  • Long-term culture and induction of anisotropic tissue architecture.

Main Results:

  • Engineered cardiac tissues exhibited well-defined sarcomeric striations and synchronous contractions after two weeks.
  • Upregulation of key cardiac maturation genes (HCN1, KCNQ1, CAV1.2, CAV3.1, PLN, RYR2) was observed.
  • The platform successfully matured both animal and human stem cell-derived cardiac tissues.

Conclusions:

  • The developed microfluidic platform enables long-term maturation of engineered cardiac tissues.
  • This technology provides a physiologically relevant model for cardiovascular disease research.
  • The platform offers a novel tool for therapeutic testing and patient-specific disease modeling.

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